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Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing

Janusauskas, A.; Marozas, V.; Engdahl, B.; Hoffman, H.; Svensson, Owe LU and Sörnmo, Leif LU (2001) In Medical & Biological Engineering & Computing 39(1). p.134-139
Abstract
A new method is presented for the purpose of improving pass/fail separation during transient evoked otoacoustic emission (TEOAE) hearing screening. The method combines signal decomposition in scales using the discrete wavelet transform, non-linear denoising and scale-dependent time windowing. The cross-correlation coefficient between two subaveraged, processed TEOAE signals is used as a pass/fail criterion and assessed in relation to the pure-tone, mean hearing level. The performance is presented in terms of receiver operating characteristics for a database of 5214 individuals. The results show that the specificity improves from 68% to 83% at a sensitivity of 90% when compared with the conventional wave reproducibility parameter.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Medical & Biological Engineering & Computing
volume
39
issue
1
pages
134 - 139
publisher
Springer
external identifiers
  • Scopus:0035147246
ISSN
0140-0118
DOI
10.1007/BF02345277
language
English
LU publication?
yes
id
95584e6d-5c95-4b46-835e-d35f693aaf1d (old id 1758877)
date added to LUP
2011-01-04 14:00:16
date last changed
2017-01-22 04:21:27
@article{95584e6d-5c95-4b46-835e-d35f693aaf1d,
  abstract     = {A new method is presented for the purpose of improving pass/fail separation during transient evoked otoacoustic emission (TEOAE) hearing screening. The method combines signal decomposition in scales using the discrete wavelet transform, non-linear denoising and scale-dependent time windowing. The cross-correlation coefficient between two subaveraged, processed TEOAE signals is used as a pass/fail criterion and assessed in relation to the pure-tone, mean hearing level. The performance is presented in terms of receiver operating characteristics for a database of 5214 individuals. The results show that the specificity improves from 68% to 83% at a sensitivity of 90% when compared with the conventional wave reproducibility parameter.},
  author       = {Janusauskas, A. and Marozas, V. and Engdahl, B. and Hoffman, H. and Svensson, Owe and Sörnmo, Leif},
  issn         = {0140-0118},
  language     = {eng},
  number       = {1},
  pages        = {134--139},
  publisher    = {Springer},
  series       = {Medical & Biological Engineering & Computing},
  title        = {Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing},
  url          = {http://dx.doi.org/10.1007/BF02345277},
  volume       = {39},
  year         = {2001},
}